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Growing Science » International Journal of Industrial Engineering Computations » Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach

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International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 3 Issue 5 pp. 925-930, 2012

Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach Pages 925-930 Right click to download the paper Download PDF

Authors: H. K. Dave, L. S. Patel, H. K. Raval

📋 Author Affiliations:
H.K. Dave¹, H.K. Raval¹, L.S. Patel²
¹ Department of Mechanical Engineering, S. V. National Institute of Technology, Surat-395007, India
² Department of Mechanical Engineering, STBS College of Diploma Engg., Surat -395006, India
doi 10.5267/j.ijiec.2012.04.005
Crossmark
32 Source: Scopus

🔑 Keywords: ANOVA, Dry turning, Material removal rate, Surface roughness, Taguchi method, Tin Coated cutting tools

Abstract: This paper presents on experimental investigation of the machining characteristics of different grades of EN materials in CNC turning process using TiN coated cutting tools. In machining operation, the quality of surface finish is an important requirement for many turned work pieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. The purpose of this research paper is focused on the analysis of optimum cutting conditions to get the lowest surface roughness and maximum material removal rate in CNC turning of different grades of EN materials by Taguchi method. Optimal cutting parameters for each performance measure were obtained employing Taguchi techniques. The orthogonal array, signal to noise ratio and analysis of variance were employed to study the performance characteristics in dry turning operation. ANOVA has shown that the depth of cut has significant role to play in producing higher MRR and insert has significant role to play for producing lower surface roughness. Thus, it is possible to increase machine utilization and decrease production cost in an automated manufacturing environment.

How to cite this paper
APA: Dave, H., Patel, L & Raval, H. (2012). Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach. International Journal of Industrial Engineering Computations, 3(5), 925-930.
Chicago/Turabian: Dave, H., Patel, L & Raval, H. 2012. "Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach." International Journal of Industrial Engineering Computations 3, no. 5 (2012): 925-930.
AMA: Dave, H., Patel, L & Raval, H. Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach. International Journal of Industrial Engineering Computations. 2012;3(5):925-930.

References
Adeel, H., Suhail, N., Ismail, Wong, S.V., & Abdul Jalil, N.A. (2010). Optimization of cutting parameters based on surface roughness and assistance of work piece surface temperature in turning process. American Journal of Engineering and Applied Sciences, 3(1), 102-108.

Aruna, M., Dhanalaxmi, V., & Mohan, S. (2010). Wear analysis of ceramic cutting tools in finish turning of Inconel 718. International Journal of Engineering Science and Technology, 2(9), 4253-4262.

Arora, R.S. (2010). Hand book of mechanical engineering. Academic (INDIA) Publishers, New Delhi.
Aslan, E., Camu?cu, N., & Birg?ren, B. (2007). Design optimization of cutting parameters when turning hardened AISI 4140 steel (63 HRC) with Al2O3 + TiCN mixed ceramic tool. Materials & Design, 28(5), 1618-1622.

Kaladhar, M., Subbaiah, V.S., Rao, Ch. S., & Rao, K.N. (2010). Optimization of process parameters in turning of AISI 202 Austenitic Stainless Steel. ARPN Journal of Engineering and Applied Sciences, 5(9), 79-87.

Jayant, A., & Kumar, V. (2008) Prediction of Surface Roughness in CNC Turning Operation using Taguchi Design of Experiments, IE(I) Journal-PR, 88, 19-25.

Thamizhmanii, S., Saparudin, S., & Hasan, S. (2007). Analyses of surface roughness by turning process using Taguchi method, Journal of Achievements of Materials and manufacturing Engineering, 20, 503-506.
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Journal: International Journal of Industrial Engineering Computations | Year: 2012 | Volume: 3 | Issue: 5 | Views: 5054 | Reviews: 0

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